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Dev tools · October 27, 2023

AL

A local Python prototyping tool for Jupyter and Streamlit

Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to…

In plain words

This local Python prototyping tool bundles Jupyter for data analysis, a choice of Python or MongoDB databases, and Streamlit for frontend visualization. Users can edit the Streamlit backend through an embedded VSCode editor or their own IDE. The tool pre-configures database connectors between Jupyter and Streamlit, eliminating setup friction. It's designed for Python developers who want to quickly prototype data applications with integrated components without manual configuration.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hey HN! I built a local Python prototyping tool that is finally the Python development environment I've always wanted. It has a Jupyter notebook for data crunching, a database of your choice (Python or MongoDB), and a Streamlit app for building a frontend visualization. You can edit the Streamlit backend via an embedded VSCode editor, or locally on your own IDE. The best part for me is that the database connectors within Jupyter and Streamlit are configured out-of-the-box, so you don't need to spend time thinking about how to tie all that together - you can just pick the database you want to use and get going. Disclaimer: I do also work on the tool that deploys all this under the hood, but this project is a personal hackweek project that I threw together so I could develop Python apps on my own

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